mse: Calculate mean squared error
In fditraglia/frankmisc: Miscellaneous helpful functions that I use regularly

This function calculates mean squared error centered around a user-specified true value, which defaults to zero.

1	mse(x, truth = 0, ...)

`x`	A vector of observations.
`truth`	The true parameter value. Defaults to zero.

The mean squared error of x centered around truth.

y <- rnorm(10)
mse(y)
mse(y, trim 0.05)
y <- c(y, NA)
mse(y, na.rm = TRUE)

fditraglia/frankmisc documentation built on May 16, 2019, 12:11 p.m.

fditraglia/frankmisc index

README.md

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description